Download A Robot to mimic horizontal Fast Eye Movement system

TEAM
A ROBOT TO MIMIC
HORIZONTAL
FAST
EYE MOVEMENT
SYSTEM
Dr. John D. Enderle
Professor of Biomedical
Engineering
University of Connecticut
Phone:(860) 486 5521
Email: [email protected]
No.9
BUILDING
AN
Main
Goals
•
Replicate the Linearized Horizontal Fast Eye
Movement System
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Quickly target a stimulus in a +/-15°range
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Camera capture an image simulating stimulus
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Image will be processed and appropriate
movement executed
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Movement should mimic that of the human Saccade
•
Target Saccade profiles for Human Eye
• Speed
• Acceleration
• Viscoelasticity
• Precision
EYE ROBOT
THE HUMAN EYE
Anatomy
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Eye
Optical Nerve
Six Muscles
Types of Movement
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Smooth Pursuit
Vestibular ocular
Optokinetic
Vergence
Saccades
OCCULOMOTOR PLANT
This linear muscle model exhibits accurate nonlinear force-velocity and length-tension
relationships. No other linear muscle model to date is able to accurately reproduce
these nonlinear relationships.
•
Actuator motion doesn’t account for the
natural elasticity or viscosity of muscle,
thus we need to model these viscoelastic
components to better model movement
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Antagonist/Agonist – Lateral and Medial
Rectus
•
Superior/Inferior Rectus/Optic Nerve- Don’t
have muscle input horizontally, but do
affect the eye rotation, nudging the system
towards a straight ahead orientation
because of slight tensions
Fag and Fant represent the agonist and antagonist active-state tensions, which drive the saccade. These are
modeled by our motors, which, in conjunction with our viscoelastics, actuate to simulate the muscle
contraction
SOLVING:
LINEAR EYE MOVEMENT MODEL
•
F constants represent forces based
on the ocularmotor elements.
•
τ and cap T constants intrinsic to
humans and are set values based on
experimental data.
•
Fag and Fant functions will output to
the motors.
SPECIFICATIONS
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30 degree range ( ± 15 )
•
Peak Velocity of ~400 degrees per second
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Duration
• ~30 ms for < 5 degree saccades
• 50+ ms for > 10 degree saccades
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•
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Neural and Agonist/Antagonist inputs
shown
These inputs produce a 15 degree
simulated saccade with a max velocity of
400 deg/s.
Notice the unit step like input, and the
near instantaneous force increase in the
action state tension generators
ACTUATION
MigeOne-10 Shape
Memory Alloy (SMA)
•
•
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Force of 8.82 N
Time - 0.034 seconds (32 Volts)
Speed 243.6 mm/s
Stroke length 9.17 mm
Four Miga Motors (2 Actuation, 2
Position)
• Clutching Mechanism
ACTUATION-LEFT TURN
Stationary
Miga 3 & 2 Actuation
Miga 4 Relax
Miga 4 Actuation
SECOND ACTUATION
Left Turn – Miga 3 Relax
Then Repeat
Right Turn – Miga 2 Relax
Right Turn – Miga 1 Relax
Right Turn – Miga 1 & 4
Actuation
Miga MOSFET Drivers
•
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External GATE (CNTL) Signals
Range (5 V– 30V)
Alps Position Sensors
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10k Linear Potentiometer
Analog Output (0V – 5V)
Arduino Mega 2560
•
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Receive Position Information
(Analog-to-Digital Converter)
Generate Control Signals
POWER REQUIREMENTS
• Actuating motors require a 15 degree saccade to be completed in 75ms.
• 20 volts chosen as input to the drivers for both actuating motors to meet these
requirements.
• 5 volts chosen as input to the drivers for both movement motors.
MOTOR CONTROL
•
Supplying both 20 and 5 volt sources with varying
current cannot be done with a standard voltage
divider.
•
The LM2596 is a voltage regulator that can take
any input above 5 volts and provide a stable 5 volt
output.
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The LM2596 is rated at 3A. Both movement motors
require a maximum of 900mA each during their
positioning.
DAMPER AND SPRING SELECTION
Spring Selection
•
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Component only exerts force relative to
POSITION
Select for resting length and K
PARAMETER OVERVIEW
Component
Required Coefficient
Kse
125 N/m
Klt
60.7 N/m
K
16.24 N/m
B1
5.6 Ns/m
B2
.50 Ns/m
B
.327 Ns/m
Eddy Current Parameter Determination
Damper
Plate Thickness
Magnet Diameter
B1
1.74mm
1/4"
B2
2.55mm
1/8”
B
1.845
1/8”
MOUNTING VISCOELASTICS
Slider System
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A system of low friction sliders on a guided
track will transfer energy step-by-step from
actuation to Saccade
Keeps the motion linear with no torque
Provides attachment for Springs and dashpots
Material Selection - UHMWPE
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Low Friction Coefficient
Low Density
Easy to machine
Lowest friction with steel, our track material
EYE AND CAMERA
Eye properties to mimic
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Inertia
Weight
Size
Muscle Attachment
Suitable Material- HDPE
IMAGE PROCESSING
3 Step Process
• Video feed from camera
• Hue Saturation & Value (HSV) transform & Threshold based on
Color
• Calculate the center of mass for the resultant binary image
COMMUNICATION
Arduino
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PySerial
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Specify port and baud rate
Establish serial connection
Relay coordinates to Arduino for
translation
Written and uploaded to ATMega328
from Arduino IDE
Serial read loop waits for input
Input coordinates are translated into
motor movement
FLOW OF AUTOMATION
LIMITATIONS AND IMPROVEMENTS
• Variable force motors
 Would provide a more homeomorphic model
• Larger Stroke and more accurate stroke control
 Increased stroke would allow for an increased “visual field”
 Higher Coefficient Miga Springs would allow greater control
• Arrange for vertical saccades and other eye movements
 Would model the human eye system in 3 dimensions
• Latency and Granular Control over Metrics
 Less friction, weight of linear blocks
 More control over motor relaxation time
 Account for cooling latency of motors, and variable room temperatures
 Force Transducers to more accurately relay force relationships
ACKNOWLEDGMENTS
Dr. John D. Enderle | Client UConn BME Professor
Marek Wartenberg |BME senior design Advising
Alex Korentis | UConn PhD student QCI Engineering
Mark Gummin | Miga Motor Company
Peter Glaude & Serge Doyon| UConn Machine Shop
Dr. Richard Jones| UConn Physics Professor
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